期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2012
卷号：2012
出版社：ACL Anthology
摘要：This paper describes a system for real-time
analysis of public sentiment toward
presidential candidates in the 2012 U.S.
election as expressed on Twitter, a microblogging
service. Twitter has become a
central site where people express their
opinions and views on political parties and
candidates. Emerging events or news are
often followed almost instantly by a burst
in Twitter volume, providing a unique
opportunity to gauge the relation between
expressed public sentiment and electoral
events. In addition, sentiment analysis can
help explore how these events affect public
opinion. While traditional content analysis
takes days or weeks to complete, the
system demonstrated here analyzes
sentiment in the entire Twitter traffic about
the election, delivering results instantly and
continuously. It offers the public, the
media, politicians and scholars a new and
timely perspective on the dynamics of the
electoral process and public opinion.
